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<div class="title">imageNet<div class="ingroups"><a class="el" href="group__deepVision.html">DNN Vision Library (jetson-inference)</a></div></div>  </div>
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<p>Image recognition DNN (GoogleNet, AlexNet, ResNet)  
<a href="#details">More...</a></p>
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Classes</h2></td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classimageNet.html">imageNet</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">Image recognition with classification networks, using TensorRT.  <a href="classimageNet.html#details">More...</a><br /></td></tr>
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Macros</h2></td></tr>
<tr class="memitem:gad5f43885a04689f10c6f9d297ab88a8d"><td class="memItemLeft" align="right" valign="top">#define&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__imageNet.html#gad5f43885a04689f10c6f9d297ab88a8d">DETECTNET_USAGE_STRING</a></td></tr>
<tr class="memdesc:gad5f43885a04689f10c6f9d297ab88a8d"><td class="mdescLeft">&#160;</td><td class="mdescRight">Command-line options able to be passed to <a class="el" href="classimageNet.html#a27823449de3babc8b6eff1e916aff745" title="Load a new network instance. ">imageNet::Create()</a>  <a href="#gad5f43885a04689f10c6f9d297ab88a8d">More...</a><br /></td></tr>
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<tr class="memitem:ga00bb3120ef3040793ad3ee25d2727f5b"><td class="memItemLeft" align="right" valign="top">#define&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__imageNet.html#ga00bb3120ef3040793ad3ee25d2727f5b">IMAGENET_DEFAULT_INPUT</a>&#160;&#160;&#160;&quot;data&quot;</td></tr>
<tr class="memdesc:ga00bb3120ef3040793ad3ee25d2727f5b"><td class="mdescLeft">&#160;</td><td class="mdescRight">Name of default input blob for <a class="el" href="classimageNet.html" title="Image recognition with classification networks, using TensorRT. ">imageNet</a> model.  <a href="#ga00bb3120ef3040793ad3ee25d2727f5b">More...</a><br /></td></tr>
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<tr class="memitem:ga74a585b96a1bd960b5201f6b69752fad"><td class="memItemLeft" align="right" valign="top">#define&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__imageNet.html#ga74a585b96a1bd960b5201f6b69752fad">IMAGENET_DEFAULT_OUTPUT</a>&#160;&#160;&#160;&quot;prob&quot;</td></tr>
<tr class="memdesc:ga74a585b96a1bd960b5201f6b69752fad"><td class="mdescLeft">&#160;</td><td class="mdescRight">Name of default output confidence values for <a class="el" href="classimageNet.html" title="Image recognition with classification networks, using TensorRT. ">imageNet</a> model.  <a href="#ga74a585b96a1bd960b5201f6b69752fad">More...</a><br /></td></tr>
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<tr class="memitem:gab0d359b9760ffe34b09adbb31d8fed54"><td class="memItemLeft" align="right" valign="top">#define&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__imageNet.html#gab0d359b9760ffe34b09adbb31d8fed54">IMAGENET_USAGE_STRING</a></td></tr>
<tr class="memdesc:gab0d359b9760ffe34b09adbb31d8fed54"><td class="mdescLeft">&#160;</td><td class="mdescRight">Command-line options able to be passed to <a class="el" href="classimageNet.html#a27823449de3babc8b6eff1e916aff745" title="Load a new network instance. ">imageNet::Create()</a>  <a href="#gab0d359b9760ffe34b09adbb31d8fed54">More...</a><br /></td></tr>
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<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
<p>Image recognition DNN (GoogleNet, AlexNet, ResNet) </p>
<h2 class="groupheader">Macro Definition Documentation</h2>
<a id="gad5f43885a04689f10c6f9d297ab88a8d"></a>
<h2 class="memtitle"><span class="permalink"><a href="#gad5f43885a04689f10c6f9d297ab88a8d">&#9670;&nbsp;</a></span>DETECTNET_USAGE_STRING</h2>

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<b>Value:</b><div class="fragment"><div class="line"><span class="stringliteral">&quot;detectNet arguments: \n&quot;</span>                                                               \</div><div class="line">                  <span class="stringliteral">&quot;  --network NETWORK     pre-trained model to load, one of the following:\n&quot;</span>          \</div><div class="line">                  <span class="stringliteral">&quot;                            * pednet (default)\n&quot;</span>                                                    \</div><div class="line">                  <span class="stringliteral">&quot;                            * multiped\n&quot;</span>                                                            \</div><div class="line">                  <span class="stringliteral">&quot;                            * facenet\n&quot;</span>                                                                     \</div><div class="line">                  <span class="stringliteral">&quot;                            * ssd-mobilenet-v1\n&quot;</span>                                                    \</div><div class="line">                  <span class="stringliteral">&quot;                            * ssd-mobilenet-v2\n&quot;</span>                                                    \</div><div class="line">                  <span class="stringliteral">&quot;                            * ssd-inception-v2\n&quot;</span>                                                    \</div><div class="line">                  <span class="stringliteral">&quot;                            * coco-airplane\n&quot;</span>                                                       \</div><div class="line">                  <span class="stringliteral">&quot;                            * coco-bottle\n&quot;</span>                                                                 \</div><div class="line">                  <span class="stringliteral">&quot;                            * coco-chair\n&quot;</span>                                                          \</div><div class="line">                  <span class="stringliteral">&quot;                            * coco-dog\n&quot;</span>                                                            \</div><div class="line">                  <span class="stringliteral">&quot;  --model MODEL         path to custom model to load (.caffemodel, .uff, or .onnx)\n&quot;</span>                                        \</div><div class="line">                  <span class="stringliteral">&quot;  --prototxt PROTOTXT   path to custom prototxt to load (for .caffemodel only)\n&quot;</span>                                    \</div><div class="line">                  <span class="stringliteral">&quot;  --class_labels LABELS path to text file containing the labels for each class\n&quot;</span>                                    \</div><div class="line">                  <span class="stringliteral">&quot;  --threshold THRESHOLD minimum threshold for detection (default is 0.5)\n&quot;</span>                                                  \</div><div class="line">                  <span class="stringliteral">&quot;  --input_blob INPUT    name of the input layer (default is &#39;&quot;</span> <a class="code" href="group__detectNet.html#gac824e329015dc8aed6e1112bfe21cb97">DETECTNET_DEFAULT_INPUT</a> <span class="stringliteral">&quot;&#39;)\n&quot;</span>                        \</div><div class="line">                  <span class="stringliteral">&quot;  --output_cvg COVERAGE name of the coverge output layer (default is &#39;&quot;</span> <a class="code" href="group__detectNet.html#ga1e79603783719e4a79f2c68f1ef47621">DETECTNET_DEFAULT_COVERAGE</a> <span class="stringliteral">&quot;&#39;)\n&quot;</span>    \</div><div class="line">                  <span class="stringliteral">&quot;  --output_bbox BOXES   name of the bounding output layer (default is &#39;&quot;</span> <a class="code" href="group__detectNet.html#gac8c52a38ffa041865ed71fd2ea806620">DETECTNET_DEFAULT_BBOX</a> <span class="stringliteral">&quot;&#39;)\n&quot;</span>       \</div><div class="line">                  <span class="stringliteral">&quot;  --mean_pixel PIXEL    mean pixel value to subtract from input (default is 0.0)\n&quot;</span>                                  \</div><div class="line">                  <span class="stringliteral">&quot;  --batch_size BATCH    maximum batch size (default is 1)\n&quot;</span></div><div class="ttc" id="group__detectNet_html_gac8c52a38ffa041865ed71fd2ea806620"><div class="ttname"><a href="group__detectNet.html#gac8c52a38ffa041865ed71fd2ea806620">DETECTNET_DEFAULT_BBOX</a></div><div class="ttdeci">#define DETECTNET_DEFAULT_BBOX</div><div class="ttdoc">Name of default output blob of the grid of bounding boxes for DetectNet caffe model. </div><div class="ttdef"><b>Definition:</b> detectNet.h:46</div></div>
<div class="ttc" id="group__detectNet_html_ga1e79603783719e4a79f2c68f1ef47621"><div class="ttname"><a href="group__detectNet.html#ga1e79603783719e4a79f2c68f1ef47621">DETECTNET_DEFAULT_COVERAGE</a></div><div class="ttdeci">#define DETECTNET_DEFAULT_COVERAGE</div><div class="ttdoc">Name of default output blob of the coverage map for DetectNet caffe model. </div><div class="ttdef"><b>Definition:</b> detectNet.h:40</div></div>
<div class="ttc" id="group__detectNet_html_gac824e329015dc8aed6e1112bfe21cb97"><div class="ttname"><a href="group__detectNet.html#gac824e329015dc8aed6e1112bfe21cb97">DETECTNET_DEFAULT_INPUT</a></div><div class="ttdeci">#define DETECTNET_DEFAULT_INPUT</div><div class="ttdoc">Name of default input blob for DetectNet caffe model. </div><div class="ttdef"><b>Definition:</b> detectNet.h:34</div></div>
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<p>Command-line options able to be passed to <a class="el" href="classimageNet.html#a27823449de3babc8b6eff1e916aff745" title="Load a new network instance. ">imageNet::Create()</a> </p>

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<h2 class="memtitle"><span class="permalink"><a href="#ga00bb3120ef3040793ad3ee25d2727f5b">&#9670;&nbsp;</a></span>IMAGENET_DEFAULT_INPUT</h2>

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          <td class="memname">#define IMAGENET_DEFAULT_INPUT&#160;&#160;&#160;&quot;data&quot;</td>
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<p>Name of default input blob for <a class="el" href="classimageNet.html" title="Image recognition with classification networks, using TensorRT. ">imageNet</a> model. </p>

</div>
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<a id="ga74a585b96a1bd960b5201f6b69752fad"></a>
<h2 class="memtitle"><span class="permalink"><a href="#ga74a585b96a1bd960b5201f6b69752fad">&#9670;&nbsp;</a></span>IMAGENET_DEFAULT_OUTPUT</h2>

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          <td class="memname">#define IMAGENET_DEFAULT_OUTPUT&#160;&#160;&#160;&quot;prob&quot;</td>
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<p>Name of default output confidence values for <a class="el" href="classimageNet.html" title="Image recognition with classification networks, using TensorRT. ">imageNet</a> model. </p>

</div>
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<a id="gab0d359b9760ffe34b09adbb31d8fed54"></a>
<h2 class="memtitle"><span class="permalink"><a href="#gab0d359b9760ffe34b09adbb31d8fed54">&#9670;&nbsp;</a></span>IMAGENET_USAGE_STRING</h2>

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          <td class="memname">#define IMAGENET_USAGE_STRING</td>
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<b>Value:</b><div class="fragment"><div class="line"><span class="stringliteral">&quot;imageNet arguments: \n&quot;</span>                                                        \</div><div class="line">                  <span class="stringliteral">&quot;  --network NETWORK    pre-trained model to load, one of the following:\n&quot;</span>   \</div><div class="line">                  <span class="stringliteral">&quot;                           * alexnet\n&quot;</span>                                                              \</div><div class="line">                  <span class="stringliteral">&quot;                           * googlenet (default)\n&quot;</span>                                  \</div><div class="line">                  <span class="stringliteral">&quot;                           * googlenet-12\n&quot;</span>                                                         \</div><div class="line">                  <span class="stringliteral">&quot;                           * resnet-18\n&quot;</span>                                                    \</div><div class="line">                  <span class="stringliteral">&quot;                           * resnet-50\n&quot;</span>                                                    \</div><div class="line">                  <span class="stringliteral">&quot;                           * resnet-101\n&quot;</span>                                                   \</div><div class="line">                  <span class="stringliteral">&quot;                           * resnet-152\n&quot;</span>                                                   \</div><div class="line">                  <span class="stringliteral">&quot;                           * vgg-16\n&quot;</span>                                                               \</div><div class="line">                  <span class="stringliteral">&quot;                           * vgg-19\n&quot;</span>                                                               \</div><div class="line">                  <span class="stringliteral">&quot;                           * inception-v4\n&quot;</span>                                                         \</div><div class="line">                  <span class="stringliteral">&quot;  --model MODEL        path to custom model to load (.caffemodel, .uff, or .onnx)\n&quot;</span>                         \</div><div class="line">                  <span class="stringliteral">&quot;  --prototxt PROTOTXT  path to custom prototxt to load (for .caffemodel only)\n&quot;</span>                             \</div><div class="line">                  <span class="stringliteral">&quot;  --labels LABELS      path to text file containing the labels for each class\n&quot;</span>                             \</div><div class="line">                  <span class="stringliteral">&quot;  --input_blob INPUT   name of the input layer (default is &#39;&quot;</span> <a class="code" href="group__imageNet.html#ga00bb3120ef3040793ad3ee25d2727f5b">IMAGENET_DEFAULT_INPUT</a> <span class="stringliteral">&quot;&#39;)\n&quot;</span>  \</div><div class="line">                  <span class="stringliteral">&quot;  --output_blob OUTPUT name of the output layer (default is &#39;&quot;</span> <a class="code" href="group__imageNet.html#ga74a585b96a1bd960b5201f6b69752fad">IMAGENET_DEFAULT_OUTPUT</a> <span class="stringliteral">&quot;&#39;)\n&quot;</span>        \</div><div class="line">                  <span class="stringliteral">&quot;  --batch_size BATCH   maximum batch size (default is 1)\n&quot;</span></div><div class="ttc" id="group__imageNet_html_ga00bb3120ef3040793ad3ee25d2727f5b"><div class="ttname"><a href="group__imageNet.html#ga00bb3120ef3040793ad3ee25d2727f5b">IMAGENET_DEFAULT_INPUT</a></div><div class="ttdeci">#define IMAGENET_DEFAULT_INPUT</div><div class="ttdoc">Name of default input blob for imageNet model. </div><div class="ttdef"><b>Definition:</b> imageNet.h:34</div></div>
<div class="ttc" id="group__imageNet_html_ga74a585b96a1bd960b5201f6b69752fad"><div class="ttname"><a href="group__imageNet.html#ga74a585b96a1bd960b5201f6b69752fad">IMAGENET_DEFAULT_OUTPUT</a></div><div class="ttdeci">#define IMAGENET_DEFAULT_OUTPUT</div><div class="ttdoc">Name of default output confidence values for imageNet model. </div><div class="ttdef"><b>Definition:</b> imageNet.h:40</div></div>
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<p>Command-line options able to be passed to <a class="el" href="classimageNet.html#a27823449de3babc8b6eff1e916aff745" title="Load a new network instance. ">imageNet::Create()</a> </p>

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